I am a postdoctoral fellow in the lab of Arnold Kriegstein at the University of California, San Francisco (UCSF). I focus on applying single-cell genomics techniques to study the development of specific cell types of the human brain, as well as to understand how these cell types are affected in various diseases, especially autism. Before starting my work at UCSF, I did my PhD at the University of Miami focusing on genomic analysis of autism. I did my B.S. and MS at Moscow State University in my native Russia, where I worked on animal models of epilepsy and Alzheimer’s disease.
Dmitry Velmeshev
Postdoctoral Scholar
University of California, San Francisco
From this contributor
Single-cell analysis suggests brain signaling problems in autism
Recent advances in technology allow researchers to measure RNA that is contained within the nucleus of a single brain cell.
Single-cell analysis suggests brain signaling problems in autism
By
Dmitry Velmeshev, The Conversation
22 May 2019 | 5 min read
Explore more from The Transmitter
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
How artificial agents can help us understand social recognition
Neuroscience is chasing the complexity of social behavior, yet we have not answered the simplest question in the chain: How does a brain know “who is who”? Emerging multi-agent artificial intelligence may help accelerate our understanding of this fundamental computation.
By
Eunji Kong
16 January 2026 | 5 min read
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
Methodological flaw may upend network mapping tool
The lesion network mapping method, used to identify disease-specific brain networks for clinical stimulation, produces a nearly identical network map for any given condition, according to a new study.
By
Angie Voyles Askham
15 January 2026 | 7 min read
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.
Common and rare variants shape distinct genetic architecture of autism in African Americans
Certain gene variants may have greater weight in determining autism likelihood for some populations, a new study shows.
By
Laura Dattaro
15 January 2026 | 5 min read